Update README.md

README.md

@@ -6,7 +6,7 @@ language:
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-# Dataset Card for Dataset Name
+# Dataset Card for DiscEvalMT
 
 
 ## Dataset Details
@@ -60,41 +60,17 @@ For machine translation to tackle discourse phenomena, models must have access t
 
 ### Source Data
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+Handcrafted examples (no specific domain) designed to be spontaneous, natural and varied.
 
 #### Data Collection and Processing
 
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+Examples were manually created by the first author (native British English speaker, bilingual French) and checked by French native speakers.
+Examples were inspired by similar examples found in subtitle data (in terms of syntactic structures, lexical choices, etc.) in order to encourage diversity and naturalness.
 
-[More Information Needed]
-
-#### Who are the source data producers?
-
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
-
-[More Information Needed]
-
-### Annotations [optional]
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-
-#### Annotation process
-
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
 
 #### Personal and Sensitive Information
 
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
+There is no personal or sensitive information in the dataset.
 
 ## Bias, Risks, and Limitations
 
@@ -114,26 +90,27 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 
 **BibTeX:**
 
-[More Information Needed]
+```\
+@inproceedings{bawden-etal-2018-evaluating,
+    title = "Evaluating Discourse Phenomena in Neural Machine Translation",
+    author = "Bawden, Rachel and Sennrich, Rico and Birch, Alexandra and Haddow, Barry",
+    booktitle = {{Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)}},
+    month = jun,
+    year = "2018",
+    address = "New Orleans, Louisiana",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/N18-1118",
+    doi = "10.18653/v1/N18-1118",
+    pages = "1304--1313"
+}
+```
 
 **APA:**
 
-[More Information Needed]
-
-## Glossary [optional]
+Bawden, R., Sennrich, R., Birch, A., & Haddow, B. (2018). Evaluating Discourse Phenomena in Neural Machine Translation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 1304–1313). Association for Computational Linguistics.
 
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
 
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Dataset Card Authors [optional]
-
-[More Information Needed]
 
-## Dataset Card Contact
+## Dataset Card Authors
 
-[More Information Needed]
+Rachel Bawden= rachel.bawden@inria.fr